code: def test_setfit_does_not_autolog(setfit_trainer):
      mlflow.autolog()
  
      setfit_trainer.train()
  
      last_run = mlflow.last_active_run()
      assert not last_run
      preds = setfit_trainer.model(
          [
              "Always carry a towel!",
              "The hobbits are going to Isengard",
              "What's tatoes, precious?",
          ]
      )
      assert len(preds) == 3
  
imports: import random
  import numpy
  import optuna
  import pytest
  import sklearn
  import sklearn.cluster
  import torch
  from datasets import load_dataset
  from sentence_transformers.losses import CosineSimilarityLoss
  from setfit import SetFitModel, sample_dataset
  from setfit import Trainer
  from setfit import TrainingArguments
  from transformers import DistilBertForSequenceClassification, DistilBertTokenizerFast, Trainer, TrainingArguments, pipeline
  import mlflow
label_desc: Use image node_id 6 for calling a global function with example usage: test_setfit_does_not_autolog(setfit_trainer) without return types